Build AI products, become an expert through our hands-on programme, work on real industry problems.

Starting in August/September 2020, we will host an eight-weeks batch for the best engineers from all over the world and turn them into AI specialists. At the School of AI, you will:

• Work in a team of two to build real AI products using cutting edge technologies
• Receive personalized coaching from top experts in the field
• Develop new skills while working on an industry project provided by world-leading companies and fast-growing startups
• Have access to exclusive recruitment opportunities with our partners.

Pi School has 20 scholarships covering 100% of the fee + accommodation grants for those coming from outside Rome/Italy.

Apply now for a full grant!

Merit First. Top engineers get in for free, and those who transfer from abroad will receive an accommodation grant.

Learn by doing. Work environment is organised to support small project teams, agile co-development, and interactions with mentors.

Real-world projects, no simulations. Our partners sponsor top engineers to solve real challenges. This may convert into the best job you ever had.

Enter the world of AI with a strong set of skills and real experience in the field. Make the most out of our networking events and recruitment opportunities

Requirements

Pi School strives to gather bright and curious minds to create a stimulating environment, where you can rapidly expand your knowledge on machine learning and AI. We are looking for people with experience in computer science, math, physics, or other computational subjects, who want to learn more about machine learning, and apply it to real world projects in a fast paced and inspiring environment. You will immediately start working on real and challenging problems to tackle with AI, while learning about the state of the art techniques during workshops and lectures and while interacting with expert mentors. GENERAL - plan and self-manage your project - research and understand the scientific literature on how to address the challenges you may face, with the help and guidance of mentors and your peers.

MINIMUM QUALIFICATIONS - BSc in a STEM field such as Computer Science, Math, Physics, Neuroscience or other computational subjects - Familiarity with general purpose programming languages, like Python or C/C++ - Proven knowledge of linear algebra, calculus, probability and computer science - Ability to communicate your work in English in a clear and concise way.

PREFERRED QUALIFICATIONS - MSc/PhD in Computer Science, Machine Learning, Data Science, Physics, Neuroscience or other computational subjects. - Experience with machine learning, with applications in fields like computer vision, natural language processing, speech recognition, or other - Experience with machine learning libraries such as Tensorflow, Scikit Learn, PyTorch, or other. - Experience building or integrating with Web / Mobile applications.

Apply now for a full grant!

The School